Computer Science, BS
Bachelor of Science in Computer Science Degree Program Requirements
Complete Core Curriculum Listing at https://catalog.pvamu.edu/universitycorecurriculum/
| Core Curriculum 42 Credit Hours | ||
| Communication Core | 6 | |
| Freshman Composition I | ||
| Technical and Business Writing | ||
| Mathematics | 3 | |
| Calculus with Analytic Geometry I | ||
| Life and Physical Sciences | 6 | |
| General Inorganic Chemistry I | ||
| University Physics I | ||
| Language, Philosophy, and Culture (Select One) | 3 | |
| Creative Arts (Select One) | 3 | |
| American History | 6 | |
| United States History I | ||
| United States History II | ||
| Government/Political Science | 6 | |
| American Government | ||
| Texas Government | ||
| Social and Behavioral Sciences (Select One) | 3 | |
| Component Area Option One (Select One) | 3 | |
| Component Area Option Two | 3 | |
| Introduction to Speech Communication | ||
| College Requirements | ||
| MATH 2413 | Calculus with Analytic Geometry I | 1 |
| MATH 2414 | Calculus with Analytic Geometry II | 4 |
| Major Requirements | ||
| COMP 1101 | Intro to Basic Engr & Comp Sci | 1 |
| COMP 1121 | Computer Science Lab I | 1 |
| COMP 1336 | Computer Science I | 3 |
| COMP 1122 | Computer Science Lab II | 1 |
| COMP 1337 | Computer Science II | 3 |
| COMP 2310 | Discrete Structures | 3 |
| COMP 2319 | Computer Organization | 3 |
| COMP 2336 | Data Structures | 3 |
| COMP 3305 | Analysis of Algorithms | 3 |
| COMP 3306 | Operating Systems | 3 |
| COMP 3322 | Software Engineering | 3 |
| COMP 3395 | Database Management | 3 |
| COMP 4100 | Ethics and Social Issues in Computing | 1 |
| COMP 4207 | Senior Design Project I | 2 |
| COMP 4208 | Senior Design Project II | 2 |
| COMP 4311 | Programming Languages | 3 |
| COMP 4312 | Computer Networks | 3 |
| COMP 4314 | Introduction to Parallel Computing | 3 |
| COMP 4323 | Network Security | 3 |
| General CS Elective | 3 | |
| Select one of the three concentration options below: | 12 | |
Regular Program concentration requirements: | ||
Two CS Lower Level Electives | ||
Two CS Upper Level Electives | ||
Cybersecurity Concentration Requirements: | ||
| Cryptography | ||
| Computer Forensics | ||
| Ethical Hacking and Penetration Testing | ||
One of the Following Concentration Electives: | ||
| Introduction to Information Security | ||
| Information Privacy | ||
| Mobile Security | ||
Data Science Concentration Requirements: | ||
| Introduction to Data Science | ||
| Data Mining and Analytics | ||
| Machine Learning | ||
| Information Retrieval | ||
| Natural Sciences Area Requirements 1 | 6 | |
| General Chemistry Lab I | ||
| University Physics Lab I | ||
Four (4) additonal SCH from Natural Sciences | ||
| Math Area Requirements | ||
| MATH 3302 | Probability and Statistics | 3 |
| MATH 3307 | Linear Algebra | 3 |
| Total Hours | 121 | |
- 1
Students meet the 12 SCH Science requirement by taking 6 SCH from the core curriculum and the remaining 6 SCH from the Natural Sciences area. Please note that one 3 SCH course and three 1 SCH lab courses will meet the requirements in the Natural Sciences area.
Computer Science Suggested Electives
| Lower-Level Electives | ||
| COMP 2300 | Introduction to Web Design and Multimedia | 3 |
| COMP 2302 | Applications Development using C# | 3 |
| COMP 2313 | Introduction to Information Security | 3 |
| COMP 2314 | Introduction to Java | 3 |
| COMP 2315 | Python Programming Language | 3 |
| Upper-Level Electives | ||
| COMP 3301 | Embedded Systems | 3 |
| COMP 3311 | Introduction to Data Science | 3 |
| COMP 3321 | Graphics and Visual Computing | 3 |
| COMP 3331 | Information Privacy | 3 |
| COMP 3332 | Cryptography | 3 |
| COMP 3333 | Smart Device App Development | 3 |
| COMP 3343 | Internet of Things | 3 |
| COMP 4307 | Special Topics | 1-3 |
| COMP 4315 | Data Mining and Analytics | 3 |
| COMP 4316 | Machine Learning | 3 |
| COMP 4318 | Information Retrieval | 3 |
| COMP 4331 | Computer Forensics | 3 |
| COMP 4332 | Mobile Security | 3 |
| COMP 4333 | Ethical Hacking and Penetration Testing | 3 |
| COMP 4384 | Human-Computer Interaction | 3 |
Technical Electives through Five-Year BS/MS Degree Plan Option
Students may, upon approval to the Five-Year BS/MS Degree Plan Option (see Roy G. Perry College of Engineering Special Programs), apply up to six credit hours of graduate courses toward technical electives requirements.
Eligibility to Take Upper Division College Courses
The Roy G. Perry College of Engineering requires an eligibility standard for the students to take upper-division college courses. Students must have completed or been currently enrolled in all lower division (1000 and 2000 level) courses in English, mathematics, science, and engineering to be eligible to enroll in upper-division (3000 or 4000 level) courses in the Roy G. Perry College of Engineering. Students in Computer Science Program must earn a “C” or better in each of the math, science, English, and computer science courses to be eligible to enroll in upper-division (3000 or 4000 level) courses in the College. Students transferring to the Roy G. Perry College of Engineering with 60 or more semester hours from another institution will be allowed a period of one semester to comply.
Bachelor of Science in Computer Science Degree Sequence
Core: https://catalog.pvamu.edu/universitycorecurriculum/
| Freshman | |||
|---|---|---|---|
| Fall - Semester 1 | Hours | Spring - Semester 2 | Hours |
| Mathematics Core | 3 | Communication Core | 3 |
| Component Area Option Two Core | 3 | MATH 2414 | 4 |
| Component Area Option One Core | 3 | ||
| Life and Physical Sciences Core | 3 | COMP 1337 | 3 |
| COMP 1122 | 1 | ||
| PHYS 2125 | 1 | ||
| COMP 1101 | 1 | ||
| COMP 1336 | 3 | ||
| COMP 1121 | 1 | ||
| Total | 15 | Total | 14 |
| Total Hours: 29 | |||
| Sophomore | |||
|---|---|---|---|
| Fall - Semester 1 | Hours | Spring - Semester 2 | Hours |
| COMP 2336 | 3 | American History Core | 3 |
| Lower Level CS Elective | 3 | ||
| COMP 2310 | 3 | COMP 2319 | 3 |
| Communication Core | 3 | Lower Level CS Elective | 3 |
| Social and Behavioral Science Core | 3 | ||
| Life and Physical Sciences Core | 3 | Science Sequence Course | 3 |
| Science Sequence Lab | 1 | ||
| CHEM 1111 | 1 | ||
| Total | 16 | Total | 16 |
| Total Hours: 32 | |||
| Junior | |||
|---|---|---|---|
| Fall - Semester 1 | Hours | Spring - Semester 2 | Hours |
| Government/Political Science Core | 3 | American History Core | 3 |
| COMP 3306 | 3 | COMP 3305 | 3 |
| COMP 3395 | 3 | COMP 3322 | 3 |
| MATH 3302 | 3 | General CS Elective | 3 |
| MATH 3307 | 3 | Creative Arts Core | 3 |
| Total | 15 | Total | 15 |
| Total Hours: 30 | |||
| Senior | |||
|---|---|---|---|
| Fall - Semester 1 | Hours | Spring - Semester 2 | Hours |
| COMP 4100 | 1 | COMP 4208 | 2 |
| COMP 4207 | 2 | COMP 4311 | 3 |
| COMP 4312 | 3 | COMP 4323 | 3 |
| Upper Level CS Elective | 3 | Upper Level CS Elective | 3 |
| COMP 4314 | 3 | Language, Philosophy, and Culture Core | 3 |
| Government/Political Science Core | 3 | ||
| Total | 15 | Total | 14 |
| Total Hours: 29 | |||
| Name | Unit |
|---|---|
| Total Semester Credit Hours: 121 |
Marketable Skills
Marketable skills, as defined by the Texas Higher Education Coordinating Board's 60x30TX Plan, include interpersonal, cognitive, and applied skill areas, are valued by employers, and can be either primary or complementary to a major. Marketable skills are acquired by students through education, including curricular, co-curricular, and extracurricular activities.
BS Computer Science
Degree Skills
- Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions
- Design, implement and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline
- Apply computer science theory and software development fundamentals to produce computing-based solutions
Concentration Skills
- Apply security principles and practices to maintain operations in the presence of risks and threats
- Understand the application of the crosscutting concepts of confidentiality, integrity, availability, risk, adversarial thinking, and systems thinking